Study on Recovering Pose of Low Altitude UAV Images Using Essential Matrix

doi:10.13474/j.cnki.11-2246.2018.0123

Abstract

Abstract:

With the widespread use of UAV,the emplacement of the camera and direction of the camera can be arbitrary.This leads to the diversification of the image baseline direction.It is difficult to process such images with traditional photogrammetric method.This paper proposes a strategy based on essential matrix for recovering pose of aerial image.It is proved that the orientation measurement proposed in this paper can not only determine the baseline direction quickly and solve exterior orientation parameters of images,but also guarantee the re-projection error within one pixel in terms of accuracy using our proposed strategy.

Key words: essential matrix, continuous relative orientation, baseline, image position

CLC Number:

ZHANG Jingjing, WU Liangcai, AI Haibin, XU Biao, ZHAO Dongliang. Study on Recovering Pose of Low Altitude UAV Images Using Essential Matrix[J]. 测绘通报, 2018, 0(4): 116-120.

References

[1] 张祖勋.数字摄影测量与计算机视觉[J].武汉大学学报(信息科学版),2004,29(12):1035-1039.
[2] 张力,艾海滨,许彪,等.基于多视影像匹配模型的倾斜航空影像自动连接点提取及区域网平差方法[J].测绘学报,2017,46(5):554-564.
[3] 王湘文,于启升,王雅鹏.无人机低空摄影测量系统在大比例尺地形图中的应用[J].地矿测绘,2013,29(1):34-36.
[4] 孙敏.多视几何与传统摄影测量理论[J].北京大学学报(自然科学版),2007,43(4):453-459.
[5] 张祖勋.数字摄影测量与计算机视觉[C]//全国数字近景摄影测量学术研讨会.[S.l.]:武汉,2004.
[6] SCHONBERGER J L,FRAHM J M.Structure-from-motion Revisited[C]//Proceedings of the CVPR.[S.l.]:CVPR,2016.
[7] SCONBERGER J L,FRAUNDORFER F,FRAHM J M.Structure-from-motion for MAV Image Sequence Analysis with Photogrammetric Applications[J].International Archives of the Photogrammetry Remote Sensing & S,2014,XL-3(3):305-312.
[8] WU C.Towards Linear-time Incremental Structure from Motion[C]//International Conference on 3dtv-Conference.[S.l.]:IEEE,2013:127-134.
[9] ZISSERMAN A.Multiple View Geometry in Computer Vision[J].Kybernetes,2003,30(910):1865-1872.
[10] FO W,WROBEL B P.Photogrammetric Computer Vision[M].[S.l.]:Springer International Publishing,2016.
[11] 陈登,林卉,苏天路,等.多视几何理论辅助的无人机低空摄影测量空三加密[J].测绘通报,2017(6):26-30.
[12] DAVID R.An Efficient Solution to the Five-point Relative Pose Problem[J].IEEE Transactions on Pattern Analysis & Machine Intelligence,2004,26(6):756-770.
[13] 王文斌,刘桂华,刘先勇,等.本质矩阵五点算法伪解的两种剔除策略[J].光电工程,2010,37(8):46-52.
[14] MOISAN L,MOULON P,MONASSE P.Fundamental Matrix of a Stereo Pair,with a Contrario Elimination of Outliers[J].Image Processing on Line,2016,6(6):89-113.
[15] 甄艳,刘学军,王美珍.一种改进RANSAC的基础矩阵方法[J].测绘通报,2014(4):39-43.
[16] MOISAN L,MOULON P,MONASSE P.Automatic Homographic Registration of a Pair of Images,with a Contrario Elimination of Outliers[J].Image Processing on Line,2012,2(5):56-73.
[17] 王解先.七参数转换中参数之间的相关性[J].大地测量与地球动力学,2007,27(2):43-46.